DevOps & GenAI Engineer (fmdiv.)

As a DevOps & Generative AI Engineer you will help develop innovative AI-powered solutions that support engineering teams throughout the product development lifecycle. By combining Generative AI software engineering and scalable platform technologies you will contribute to transforming complex engineering processes into smarter more efficient workflows.

Your contribution to something big:

• Design and implement Generative AI agents that support engineering activities such as requirements analysis documentation assistance test interpretation and failure analysis.
• Develop AI solutions using Large Language Models (LLMs) embeddings vector databases and domain-specific knowledge sources.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for structured and semi-structured engineering data.
• Integrate AI agents with engineering tools databases repositories and enterprise platforms.
• Ensure reliability traceability security and responsible AI usage in regulated engineering environments.
• Collaborate closely with engineering experts to evaluate solution performance usability and business value.
• Document architectures APIs integration concepts and operational guidelines.
• Work together with security and compliance teams to implement trustworthy and compliant AI solutions.
• Contribute to the continuous improvement of AI platforms DevOps practices and engineering processes.

Qualifications :

What distinguishes you:

Education

• Degree in Computer Science Engineering Data Science Artificial Intelligence or a comparable field.

Experience

• Experience in Generative AI development AI agent orchestration AI-powered applications or related areas.
• Strong software engineering background with hands-on experience in Python and API-based architectures.
• Experience working with microservices and modern software development practices.
• Familiarity with structured and semi-structured data formats such as JSON PDFs and technical documentation.

Know-how

• Good understanding of Large Language Models (LLMs) embeddings vector databases and RAG architectures.
• Experience with AI agent frameworks such as LangChain LlamaIndex OpenAI Agents CrewAI Swarm or MCP.
• Knowledge of cloud-native development DevOps practices CI/CD pipelines or platform engineering concepts is an advantage.
• Experience with MLOps AI observability evaluation frameworks or model deployment is a plus.
• Familiarity with engineering workflows PLM systems or regulated industrial environments is beneficial.

Languages

• Excellent English communication skills.
• German language skills are considered an advantage.

Working Style and Methods

• Structured analytical and solution-oriented way of working.
• Ability to collaborate effectively in cross-functional and international teams.
• Comfortable working in agile iterative and innovation-driven environments.
• Strong focus on quality reliability and continuous improvement.

Personality

• Curious and passionate about emerging technologies and AI innovations.
• Proactive mindset with a strong sense of ownership.
• Excellent communication and stakeholder management skills.
• Open-minded team player who values diversity inclusion and different perspectives.

Additional Information :

Work #LikeABosch includes:

Flexible work conditions

Hybrid work system

Exchange with colleagues around the world

  Health insurance

  Medical office (psychology and general clinic) & Social Services Office on site

Training opportunities (p.e. technical training foreign languages training) & certifications

Opportunities for career progression and continuous professional development

Access to great discounts in partnerships and Bosch products

Sports and health related activities

Great access to public transports

Free transport from Porto

Flexible benefits platform

Free parking lot

Canteen

Success stories dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

No

Employment Type :

Full-time